/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * License); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

/*
 * Copyright (c) 2018, Open AI Lab
 * Author: chunyinglv@openailab.com
 */
#include "operator/permute.hpp"


namespace TEngine {

bool Permute::InferShape(const std::vector<TEngine::TShape>& ishape, 
                               std::vector<TEngine::TShape>& oshape)
{

     const TShape& input=ishape[0];
     int n=input.GetN();
     int c=input.GetC();
     int h=input.GetH();
     int w=input.GetW();

    // only support for 0231[bhwc]
    if ((param_.order0==0) &&(param_.order1==2)&&(param_.order2==3)&&(param_.order3==1))
    {
        TShape shape;
        std::vector<int> dim={n,h,w,c};
        shape.SetDim(dim);
        shape.SetDataLayout("NCHW");
        oshape[0]=shape;
        return true;    
    }
    else
    {
        return false;
    }

}



void Permute::SetSchema(void)
{
    Input({"input:float32"})
    .Output({"output:float32"})
    .SetLayout("NCHW")
    .SetAttr("flag",0)
    .SetAttr("order0",0)
    .SetAttr("order1",1)
    .SetAttr("order2",2)
    .SetAttr("order3",3)
    .SetDoc(R"DOC(Permute Layer)DOC");
}


} //namespace TEngine
